Update app.py

app.py

@@ -156,7 +156,7 @@ def get_summary_answer(Question):
   cluster_selected = return_selected_cluster(Question)
 
   temp_df = newsdf_sample[newsdf_sample.exp1==cluster_selected]
-  tfidf_ques = vectorizer.transform([process_row(ques)]).todense()
+  tfidf_ques = vectorizer.transform([process_row(Question)]).todense()
   cosine_score = []
   for sent in temp_df["tfidf_cleaned"].values:
     val = vectorizer.transform([sent]).todense()